关键词: 心脑血管事件, 发生特征, 趋势分析

Abstract: Objective To understand the characteristics of cardiovascular and cerebrovascular events in Wuhan and provide the reference for related prevention and control work. Methods The data of cardiovascular and cerebrovascular events in Wuhan from 2014 to 2020 were retrospectively analyzed by descriptive epidemiological methods. Results From 2014 to 2020,the standardized morbidity of cardiovascular and cerebrovascular events in Wuhan was 298.39/100 000,and the standardized morbidity decreased year by year （P<0.05）. There was no significant change in the morbidity of cardiovascular and cerebrovascular events from 2014 to 2018 （APC= -0.14%,P>0.05）,the morbidity of cardiovascular and cerebrovascular events showed a downward trend from 2018 to 2020 （APC= -6.92%,P<0.05）. The morbidity and standardized morbidity of cardiovascular and cerebrovascular events in males were higher than those in females （P<0.01）,and the morbidity and standardized morbidity of APC in females showed a downward trend （P<0.05）. The onset age of cardiovascular and cerebrovascular events in males （median age 67.0 years） was younger than that in females （median age 72.0 years） （P<0.01）. The morbidity of cardiovascular and cerebrovascular events increased with age,and was at a low level before 40 years old,and gradually increased after 40 years old,reaching a peak after 85 years old （3 436.63 per 100 000）. The standardized morbidity in central urban area was lower than that in remote urban area （P<0.01）,and the APC of the morbidity and standardized morbidity in central urban area showed a decreasing trend （both P<0.05）,while in remote urban area showed no obvious decreasing trend （P>0.05）. Conclusions The morbidity of cardiovascular and cerebrovascular events in Wuhan showed a stable trend from 2014 to 2018,and a decreasing trend from 2018 to 2020. The population in the remote urban area,males,and the elderly should be the key groups of attention.

Key words: Cardiovascular and cerebrovascular events, Characteristics of morbidity, Trend analysis